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Create app.py
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app.py
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# app.py
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import gradio as gr
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import asyncio
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from src.chimera.core.orchestrator import run_analysis
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from src.chimera.utils.logging_config import setup_logging, logger
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from src.chimera.config import GEMINI_API_KEY # Import to check if configured
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# Setup logging as soon as the app starts
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setup_logging()
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# Check essential configurations on startup
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if not GEMINI_API_KEY:
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logger.error("CRITICAL: GEMINI_API_KEY is not set. The application might not function correctly.")
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# Optionally, raise an exception or display a persistent error in the UI
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async def chimera_interface(query: str):
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"""
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Wrapper function for Gradio to call the async orchestrator.
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"""
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if not query:
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return "Please enter a query."
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if not GEMINI_API_KEY:
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return "Error: Application is not configured correctly (Missing API Key)."
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logger.info(f"Gradio interface received query: {query}")
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try:
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# Use asyncio.create_task if Gradio runs its own event loop correctly,
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# otherwise run it directly if Gradio handles the async function call.
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# Gradio generally handles async functions well.
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result = await run_analysis(query)
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logger.info("Gradio interface processing complete.")
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return result
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except Exception as e:
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logger.exception("Error in Gradio interface call to run_analysis.")
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return f"An unexpected error occurred in the backend: {e}"
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# --- Gradio UI Definition ---
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with gr.Blocks(theme=gr.themes.Soft(), title="Project Chimera") as demo:
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gr.Markdown(
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"""
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# Project Chimera : Real-Time Global Analysis Engine
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Enter your query to analyze real-time data from SERP and other sources using Gemini.
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(Example: "Analyze recent news about renewable energy investments in the US")
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"""
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)
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with gr.Row():
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query_input = gr.Textbox(
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label="Your Query:",
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placeholder="Type your complex question or analysis request here...",
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lines=3
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)
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submit_button = gr.Button("Analyze", variant="primary")
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with gr.Row():
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output_display = gr.Markdown(label="Chimera Analysis:") # Use Markdown for better formatting
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# Link the button click to the interface function
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submit_button.click(
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fn=chimera_interface,
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inputs=[query_input],
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outputs=[output_display]
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)
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# Example usage display
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gr.Examples(
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examples=[
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"Search recent news about AI impact on healthcare.",
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"What are the latest developments in fusion energy according to recent searches?",
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# Add more examples relevant to the APIs you integrate
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],
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inputs=[query_input],
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outputs=[output_display],
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fn=chimera_interface, # Make examples clickable
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cache_examples=False # Depends if you want to cache example runs
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)
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# --- Launching the App ---
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if __name__ == "__main__":
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logger.info("Starting Gradio application...")
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# Ensure loop is running if needed (Gradio might handle this)
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# asyncio.run(demo.launch()) # If running locally and need explicit loop start
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demo.launch() # Standard launch for Hugging Face Spaces
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